The code provided is already correct and does not require any modifications. The groupby function was used correctly to group the data by the specified columns, and then the sum method was used to calculate the sum of each column for each group.

To make the indices into columns again, you can use the .reset_index() method as shown in the updated code:

df = df.reset_index()

Alternatively, when calling the groupby function, you can set as_index=False to keep the original columns as separate index and column, rather than converting them into a single index.

df = df.groupby(by=['date','category','country','criteria','size'], as_index=False).sum()

This way, you do not need to call .reset_index() again.

Last modified on 2023-09-17